class_docstr: Multilayer perceptron.
code: def forward(self, x):
      x = self.fc1(x)
      x = self.act(x)
      x = self.drop(x)
      x = self.fc2(x)
      x = self.drop(x)
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from mmcv.cnn.bricks import DropPath
  from mmdet.registry import MODELS
label_desc: Use image node_id 2 for calling the Mlp obj's underlying member method code with example usage: obj.forward(x) and returns: x